Software Engineer (Android)

Lenovo is seeking an experienced Software Engineer to lead the integration and implementation of Small Language Model (SLM) inferencing for our next-generation AI systems onto Android devices. If you are passionate about making Smarter Technology For All, come help us realize our Hybrid AI vision!

Responsibilities:

• Design, implement, and maintain core agent runtimes responsible for:

• Dynamic model loading and lifecycle management on Android devices

• Scheduling, prioritization, and queuing of model inference requests

• Information retrieval, data preprocessing, and context preparation pipelines

• Developing system integrations to support interoperability between Android applications, services, and AI runtime components

• Implementing security and privacy controls, including process isolation, app sandboxing, audit logging, and compliance with enterprise-grade mobile security standards

• Optimizing runtime performance for latency, throughput, and memory footprint across heterogeneous compute platforms (CPU, GPU, NPU/DSP) and across various vendor AI runtimes (e.g., Qualcomm AI Engine, MediaTek EdgeAI)

• Embedding safety and interpretability features into the stack, including guardrails, telemetry, and explainability mechanisms

• Contributing to platform reliability, including fault tolerance, error handling, and automated recovery strategies

• Collaborating with cross-functional teams (AI researchers, product managers, QA, and DevOps) to deliver robust, production-ready solutions

• Mentoring junior engineers by providing technical guidance, conducting code reviews, and supporting onboarding

• Authoring technical documentation and best practices, contributing to internal knowledge bases, design proposals, and architecture reviews

Required Qualifications:

• Expertise in Android development, including Android SDK, NDK, AIDL, and Binder IPC

• Strong understanding of Android application and system security best practices (e.g., app sandboxing, SELinux, secure coding, permission models)

• Strong programming skills in Kotlin/Java for Android application and service integration

• Proficiency in C/C++ for Android NDK/system-level development

• Familiarity with mobile AI runtimes such as ONNX, TensorFlow Lite, Qualcomm AI Engine, and MediaTek EdgeAI

• Working knowledge of Python and deep learning frameworks such as PyTorch

• Strong problem-solving and debugging skills in complex, multi-threaded environments

• Experience with GGML, GGUF, and llama.cpp for local model inference

• Experience with Kotlin Multiplatform (KMP) or other cross-platform development frameworks

• Contributions to open-source AI runtimes, libraries, or Android utilities

• Background in performance optimization, compiler toolchains, or low-level hardware acceleration

• Experience building AI features for consumer mobile apps at scale